At-line prediction of gelatinized starch and fiber fractions in extruded dry dog food using different near-infrared spectroscopy technologies
Goi, Arianna (Università di Padova)
Manuelian, Carmen L (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
Righi, Federico (Università degli Studi di Parma)
De Marchi, M (Università di Padova)

Fecha:	2020
Resumen:	This study aimed to assess the feasibility of visible/near-infrared reflectance (Vis-NIR) and near-infrared transmittance (NIT) spectroscopy to predict total and gelatinized starch and fiber fractions in extruded dry dog food. Reference laboratory analyses were performed on 81 samples, and the spectrum of each ground sample was obtained through Vis-NIR and NIT spectrometers. Prediction equations for each instrument were developed by modified partial least squares regressions and validated by cross-(CrV) and external validation (ExV) procedures. All studied traits were better predicted by Vis-NIR than NIT spectroscopy. With Vis-NIR, excellent prediction models were obtained for total starch (residual predictive deviation; RPDCrV = 6. 33; RPDExV = 4. 43), gelatinized starch (RPDCrV = 4. 62; RPDExV = 4. 36), neutral detergent fiber (NDF; RPDCrV = 3. 93; RPDExV = 4. 31), and acid detergent fiber (ADF; RPDCrV = 5. 80; RPDExV = 5. 67). With NIT, RPDCrV ranged from 1. 75 (ADF) to 2. 61 (acid detergent lignin, ADL) and RPDExV from 1. 71 (ADL) to 2. 16 (total starch). In conclusion, results of the present study demonstrated the feasibility of at-line Vis-NIR spectroscopy in predicting total and gelatinized starch, NDF, and ADF, with lower accuracy for ADL, whereas results do not support the applicability of NIT spectroscopy to predict those traits.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Fibrous fractions ; NIT ; Non-fibrous carbohydrates ; Pet food ; Starch gelatinization ; Vis-NIR
Publicado en:	Animals, Vol. 10 Núm. 5 (2020) , p. 862, ISSN 2076-2615

DOI: 10.3390/ani10050862
PMID: 32429392

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